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DBMS > Amazon DocumentDB vs. Hazelcast vs. Microsoft Azure SQL Database vs. NSDb vs. OrigoDB

System Properties Comparison Amazon DocumentDB vs. Hazelcast vs. Microsoft Azure SQL Database vs. NSDb vs. OrigoDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonHazelcast  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNSDb  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA widely adopted in-memory data gridDatabase as a Service offering with high compatibility to Microsoft SQL ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA fully ACID in-memory object graph database
Primary database modelDocument storeKey-value storeRelational DBMSTime Series DBMSDocument store
Object oriented DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websiteaws.amazon.com/­documentdbhazelcast.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasensdb.ioorigodb.com
Technical documentationaws.amazon.com/­documentdb/­resourceshazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqlnsdb.io/­Architectureorigodb.com/­docs
DeveloperHazelcastMicrosoftRobert Friberg et al
Initial release20192008201020172009 infounder the name LiveDB
Current release5.3.6, November 2023V12
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java, ScalaC#
Server operating systemshostedAll OS with a Java VMhostedLinux
macOS
Linux
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, stringUser defined using .NET types and collections
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyes infothe object must implement a serialization strategyyesnono infocan be achieved using .NET
Secondary indexesyesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLnoSQL-like query languageyesSQL-like query languageno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
.NET Client API
HTTP API
LINQ
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Scala
.Net
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor ServicesTransact SQLnoyes
Triggersnoyes infoEventsyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes infoReplicated Mapyes, with always 3 replicas availableSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsone or two-phase-commit; repeatable reads; read commitedACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Luceneyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesRole-based access controlfine grained access rights according to SQL-standardRole based authorization

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More resources
Amazon DocumentDBHazelcastMicrosoft Azure SQL Database infoformerly SQL AzureNSDbOrigoDB
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